Fluorescence-activated cell sorting to reveal the cell origin of radioligand binding.
Benjamin B TournierStergios TsartsalisKelly CeyzériatZadith MedinaBen H FraserMarie-Claude GrégoireEnikö KövariPhilippe MilletPublished in: Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism (2019)
Many studies have explored the role of TSPO (18 kDa translocator protein) as a marker of neuroinflammation using single-photon emission computed tomography (SPECT) or positron emission tomography (PET). In vivo imaging does not allow to determine the cells in which TSPO is altered. We propose a methodology based on fluorescence-activated cell sorting to sort different cell types of radioligand-treated tissues. We compared left/right hippocampus of rats in response to a unilateral injection of lipopolysaccharide (LPS), ciliary neurotrophic factor (CNTF) or saline. We finally applied this methodology in human samples (Alzheimer's disease patients and controls). Our data show that the pattern of TSPO overexpression differs across animal models of acute neuroinflammation. LPS induces a microglial expansion and an increase in microglial TSPO binding. CNTF is associated with an increase in TSPO binding in microglia and astrocytes in association with an increase in the number of microglial binding sites per cell. In humans, we show that the increase in CLINDE binding in Alzheimer's disease concerns microglia and astrocytes in the presence of a microglial expansion. Thus, the cellular basis of TSPO overexpression is condition dependent, and alterations in TSPO binding found in PET/SPECT imaging studies cannot be attributed to particular cell types indiscriminately.
Keyphrases
- computed tomography
- positron emission tomography
- inflammatory response
- pet imaging
- single cell
- cell therapy
- lipopolysaccharide induced
- lps induced
- pet ct
- gene expression
- magnetic resonance imaging
- binding protein
- newly diagnosed
- oxidative stress
- magnetic resonance
- chronic kidney disease
- end stage renal disease
- cell proliferation
- cell death
- machine learning
- mass spectrometry
- hepatitis b virus
- induced apoptosis
- prognostic factors
- blood brain barrier
- toll like receptor
- endoplasmic reticulum stress
- amino acid
- cerebral ischemia
- ultrasound guided
- anti inflammatory
- artificial intelligence
- energy transfer
- heat shock protein